Findings of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages
Abstract
We present the results of the WMT’22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. The shared task included both a data and a systems track, along with additional innovations, such as a focus on African languages and extensive human evaluation of submitted systems. We received 14 system submissions from 8 teams, as well as 6 data track contributions. We report a large progress in the quality of translation for African languages since the last iteration of this shared task: there is an increase of about 7.5 BLEU points across 72 language pairs, and the average BLEU scores went from 15.09 to 22.60.
Antonios Anastasopoulos
Assistant Professor
I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages.
Fahim Faisal
PhD Student
My name is Fahim Faisal. My academic interest involves learning different aspects of computational linguistics and natural language processing (eg. machine translation). Currently, I am working on a project related to semi-supervised learning of morphological process of language.
